Positron vs Spyder
Positron
positron.posit.coSpyder
spyder-ide.orgSide by side
| Figure | Positron | Spyder |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Python IDEs | 7.9 (#9) | 7.4 (#18) |
| License | Positron is licensed under the Elastic License 2.0, which Posit describes as source-available. | Spyder is open-source software available free to use, and its documentation states that anyone can contribute. |
| Purpose | Positron is a data science IDE purpose-built for Python and R. | Spyder is a scientific environment written in Python for scientists, engineers and data analysts. |
Plans
In their own words
Positron
Positron is a data science IDE for Python and R, available on Linux, macOS, and Windows. Its Data Explorer provides an interactive interface for exploring and manipulating large local or remote datasets. The IDE supports Jupyter notebooks and Quarto for reproducible reports and presentations, and includes a Connections pane for databases and a Catalog Explorer. Listed capabilities also include an integrated debugger, advanced code intelligence, remote development, and Python environment tools. Posit Assistant can draw context from a live Python or R session, including loaded data, plots, and console history. Positron's AI features use a bring-your-own-key model, with users or their organizations paying the selected model provider directly. Posit says it does not track, collect, or store prompts, code, or conversations entered through these features when an external provider is used. It does not support code written or generated in Positron, including AI-generated code. The desktop IDE is free. Publishing to Posit Connect requires a subscription; Positron Pro on Posit Workbench is listed for enterprise governance, scalable compute, SSO, and dedicated support.
Spyder
Spyder is a free, open-source scientific Python environment for scientists, engineers, and data analysts. Its multi-language editor offers code completion, real-time analysis, syntax highlighting, and split panels. Users can run whole files, selected lines, or code cells in an IPython Console, which includes function calltips, debugger integration, a Variable Explorer, and plots. Standalone installers for Windows, macOS, and Linux include common scientific libraries such as NumPy, SciPy, Pandas, and Matplotlib. Spyder can connect to existing local or remote Python kernels. It supports third-party plugins, though its documentation recommends Conda-based installation for plugin use and says standalone plugin installation is under development. For browser access, Binder provides a functional session without installation; code and data are lost when the tab is closed or left. Spyder's documentation points users to its FAQ, troubleshooting guide, GitHub issue tracker, and Google Group for help, and states that anyone can contribute.